Editor's Comparative Analysis
When choosing between Big Data Mining and Analytics and AI Open, researchers should consider the trade-off between prestige (AI Open leads with an IF of ) and cost-efficiency, as Big Data Mining and Analytics is a Diamond Open Access venue.
Big Data Mining and Analytics is published in CN, while AI Open is headquartered in CN. Both titles are verified via the JournalsHub Live Indexing Tracker for 2026.
| Academic Metric | Big Data Mining and Analytics | AI Open |
|---|---|---|
| General Information | ||
| Publisher | Tsinghua University Press | KeAi Communications Co. Ltd. |
| Country of Origin | CN | CN |
| Established | 2022 | 2021 |
| Editor-in-Chief | See Website | See Website |
| Scientific Influence | ||
| Current Impact Factor | N/A | N/A |
| Indexing Status |
DOAJ
|
DOAJ
|
| Review Speed (Decision) |
38 days
Fast-Track
|
94 days
Standard
|
| Acceptance Rate | N/A | N/A |
| Access & Publication Fees | ||
| Open Access Type | Full OA | Full OA |
| APC Fee (Estimated) | FREE (Diamond) | $700.00 |
Historical Impact Factor Comparison
No historical impact factor data available for these journals yet.
About Big Data Mining and Analytics
Big Data Mining and Analytics is a prominent academic journal specializing in Electronic computers. Computer science. Published by Tsinghua University Press in CN, the journal serves as an essential platform for researchers to share high-quality scholarly work. It is fully Open Access publication identified by ISSN 2096-0654. The journal aims …
View Full ProfileAbout AI Open
AI Open is a prominent academic journal specializing in Electronic computers. Computer science. Published by KeAi Communications Co. Ltd. in CN, the journal serves as an essential platform for researchers to share high-quality scholarly work. It is fully Open Access publication identified by ISSN 2666-6510. The journal aims to advance …
View Full ProfileSearching for: Big Data Mining and Analytics impact factor, AI Open APC fees, journal comparison tool 2026.